Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints
Accompanying the unceasing progress of integrated circuit manufacturing technology, the mainstream production mode of current semiconductor wafer fabrication is featured with multi-variety, small batch, and individual customization, which poses a huge challenge to the scheduling of cluster tools wit...
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sg-ntu-dr.10356-1455272020-12-28T01:17:00Z Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints Wang, Jipeng Hu, Hesuan Pan, Chunrong Zhou, Yuan Li, Liang School of Computer Science and Engineering Engineering::Electrical and electronic engineering Cluster Tools Multiple Wafer Types Accompanying the unceasing progress of integrated circuit manufacturing technology, the mainstream production mode of current semiconductor wafer fabrication is featured with multi-variety, small batch, and individual customization, which poses a huge challenge to the scheduling of cluster tools with single-wafer-type fabrication. Concurrent processing multiple wafer types in cluster tools, as a novel production pattern, has drawn increasing attention from industry to academia, whereas the corresponding research remains insufficient. This paper investigates the scheduling problems of dual-arm cluster tools with multiple wafer types and residency time constraints. To pursue an easy-to-implement cyclic operation under diverse flow patterns, we develop a novel robot activity strategy called multiplex swap sequence. In the light of the virtual module technology, the workloads that stem from bottleneck process steps and asymmetrical process configuration are balanced satisfactorily. Moreover, several sufficient and necessary conditions with closed-form expressions are obtained for checking the system's schedulability. Finally, efficient algorithms with polynomial complexity are developed to find the periodic scheduling, and its practicability and availability are demonstrated by the offered illustrative examples. Published version 2020-12-28T01:17:00Z 2020-12-28T01:17:00Z 2020 Journal Article Wang, J., Hu, H., Pan, C., Zhou, Y., & Li, L. (2020). Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints. IEEE/CAA Journal of Automatica Sinica, 7(3), 776-789. doi:10.1109/JAS.2020.1003150 2329-9266 https://hdl.handle.net/10356/145527 10.1109/JAS.2020.1003150 3 7 776 789 en IEEE/CAA Journal of Automatica Sinica © 2020 the Chinese Association of Automation. All rights reserved. This paper was published in IEEE/CAA Journal of Automatica Sinica and is made available with permission of the Chinese Association of Automation. application/pdf |
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Engineering::Electrical and electronic engineering Cluster Tools Multiple Wafer Types Wang, Jipeng Hu, Hesuan Pan, Chunrong Zhou, Yuan Li, Liang Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
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Accompanying the unceasing progress of integrated circuit manufacturing technology, the mainstream production mode of current semiconductor wafer fabrication is featured with multi-variety, small batch, and individual customization, which poses a huge challenge to the scheduling of cluster tools with single-wafer-type fabrication. Concurrent processing multiple wafer types in cluster tools, as a novel production pattern, has drawn increasing attention from industry to academia, whereas the corresponding research remains insufficient. This paper investigates the scheduling problems of dual-arm cluster tools with multiple wafer types and residency time constraints. To pursue an easy-to-implement cyclic operation under diverse flow patterns, we develop a novel robot activity strategy called multiplex swap sequence. In the light of the virtual module technology, the workloads that stem from bottleneck process steps and asymmetrical process configuration are balanced satisfactorily. Moreover, several sufficient and necessary conditions with closed-form expressions are obtained for checking the system's schedulability. Finally, efficient algorithms with polynomial complexity are developed to find the periodic scheduling, and its practicability and availability are demonstrated by the offered illustrative examples. |
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School of Computer Science and Engineering |
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School of Computer Science and Engineering Wang, Jipeng Hu, Hesuan Pan, Chunrong Zhou, Yuan Li, Liang |
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Article |
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Wang, Jipeng Hu, Hesuan Pan, Chunrong Zhou, Yuan Li, Liang |
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Wang, Jipeng |
title |
Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
title_short |
Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
title_full |
Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
title_fullStr |
Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
title_full_unstemmed |
Scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
title_sort |
scheduling dual-arm cluster tools with multiple wafer types and residency time constraints |
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2020 |
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https://hdl.handle.net/10356/145527 |
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